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Image Restoration

Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity


In this paper, we solve blind image deconvolution problem that is to remove blurs form a signal degraded image without any knowledge of the blur kernel. Since the problem is ill-posed, an image prior plays a significant role in accurate blind deconvolution. Traditional image prior assumes coefficients in filtered domains are sparse. However, it is assumed here that there exist additional structures over the sparse coefficients. Accordingly, we propose new problem formulation for the blind image deconvolution, which utilize the structural

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Authors:
Deokyoung Kang, Suk I. Yoo
Submitted On:
13 March 2017 - 4:21am
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icassp2017_jeon_3855_IVMSP-P9.8.pdf

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icassp2017_jeon_3855_IVMSP-P9.8.pdf

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[1] Deokyoung Kang, Suk I. Yoo, "Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1577. Accessed: Jun. 25, 2017.
@article{1577-17,
url = {http://sigport.org/1577},
author = {Deokyoung Kang; Suk I. Yoo },
publisher = {IEEE SigPort},
title = {Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity},
year = {2017} }
TY - EJOUR
T1 - Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity
AU - Deokyoung Kang; Suk I. Yoo
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1577
ER -
Deokyoung Kang, Suk I. Yoo. (2017). Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity. IEEE SigPort. http://sigport.org/1577
Deokyoung Kang, Suk I. Yoo, 2017. Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity. Available at: http://sigport.org/1577.
Deokyoung Kang, Suk I. Yoo. (2017). "Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity." Web.
1. Deokyoung Kang, Suk I. Yoo. Blind Image Deconvolution Using Student’s-t Prior With Overlapping Group Sparsity [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1577